(1) Monitoring function system: According to the information of plant growth environment obtained by wireless network, such as monitoring soil moisture, soil temperature, air temperature, air humidity, light intensity, plant nutrient content and other parameters. Other parameters can also be selected, such as PH value and electrical conductivity in the soil. Collect information, receive data from wireless sensor nodes, store, display and manage the data, realize the collection, management, dynamic display and analysis of the information of test points in each base, and show it to users in the form of intuitive charts and curves. According to the feedback of the above information, automatic irrigation, automatic cooling, automatic mold rolling, automatic liquid fertilizer fertilization, automatic pesticide spraying and so on in the agricultural park are automatically controlled.
(2) Monitoring function system: The agricultural park has realized automatic information detection and control. By providing wireless sensor nodes, the solar power supply system, information acquisition and information routing equipment are equipped with wireless sensor transmission systems, each base point is equipped with wireless sensor nodes, and each wireless sensor node
Sensor nodes can monitor soil humidity, soil temperature, air temperature, air humidity, light intensity, plant nutrient content and other parameters. According to the needs of planting crops, provide all kinds of acousto-optic alarm information and SMS alarm information.
(3) Real-time image and video monitoring function: The basic concept of agricultural Internet of Things is to realize the relationship network between crops and environment, soil and fertility in agriculture, and realize the optimal growth environment conditioning and fertilization management of crops through multi-dimensional information and multi-level processing. However, as the manager of agricultural production, only the numerical relationship between things can not completely create the best growth conditions for crops. Video and image monitoring provide a more intuitive way to express the relationship between things. For example, which land is short of water, only moisture data can be seen on the single-layer data of the Internet of Things. How much should I irrigate? We can't just make decisions based on these data.
Because the inhomogeneity of agricultural production environment determines the inherent disadvantage of agricultural information acquisition, it is difficult to make a breakthrough from pure technical means. The introduction of video surveillance directly reflects the real-time state of crop production. The introduction of video images and image processing can not only directly reflect the growth of some crops, but also reflect the overall state and nutritional level of crop growth. It can provide a more scientific theoretical basis for farmers' overall planting decision.